Platform integrates IoT data and analytics with the enterprise for context-rich, real-time insights and IoT security

PALO ALTO, CA, May 16, 2017 – Striim™, provider of the leading end-to-end, real-time data integration and intelligence platform, today introduced Striim for IoT, a comprehensive streaming data management solution for the Internet of Things (IoT). Striim for IoT helps companies address three of the most difficult data challenges of IoT infrastructure: 1) managing the tsunami of data generated by IoT devices, 2) integrating IoT data with the enterprise and analyzing it in real time, and 3) addressing security issues associated with the explosion of connected devices. Through enterprise-grade, real-time data integration combined with streaming analytics and visualization, Striim enables IoT-driven companies to make fast, informed decisions based on context-rich, real-time insights.

Managing the Tsunami of IoT Data Through Real-Time Edge Processing

In a recent white paper, IDC predicts that, over the next 8 years, the amount of data created per year will increase 10X to over 160 zettabytes – with 95% originating from the world of IoT. However, the study also indicates that only a very small fraction of that data can be stored.

In its simplest use case, the Striim platform enables immediate in-flight filtering, transformation and aggregation of IoT data at the edge. This allows businesses to store only the IoT data they need, and to extend the value of existing storage investments.

Integrating IoT Data and Analytics with the Enterprise

“Even though many companies are using edge analytics for their IoT data, they are really limiting themselves by evaluating and acting on siloed data,” said Steve Wilkes, founder and CTO of Striim. “There are many other sources of data to be considered, such as transactional data, log files, message queues and events, that, when correlated with IoT data, can provide a well-rounded view for decision makers within a company.”

Business operations that leverage IoT devices are not driven solely by IoT data. As such, Striim enables companies to integrate massive volumes of sensor and device data in real time with a wide variety of streaming data sources across the enterprise, and perform streaming data processing and analytics wherever it makes most sense for the business – at the edge, on-premise, or in the cloud. This all occurs while data is in-flight, before the information loses operational value, becoming less relevant and actionable. The resulting timely and context-rich insights enable management to make informed decisions and take necessary actions to achieve key objectives such as improving operational efficiency, driving intelligent innovation, and counteracting IoT-related security threats.

Introducing Striim Edge Controller

As a key component of Striim for IoT, Striim is pleased to preview Striim Edge Controller, a new management and monitoring framework that allows users to easily manage hundreds of edge servers in a scalable fashion. With Striim Edge Controller, users can build and modify edge processing and analytics flows in the Striim Server, and easily push them to any edge servers they choose. Similarly, via the Striim Server, users can easily monitor the status of the Striim platform running on edge servers, and gain a comprehensive real-time view of their streaming integration and analytics solution for IoT.